Triple
T37819136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Hot Red |
E942857
|
entity |
| Predicate | isReminiscentOf |
P35666
|
FINISHED |
| Object | ripe rhubarb stalks |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ripe rhubarb stalks | Statement: [Red Hot Red, isReminiscentOf, ripe rhubarb stalks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isReminiscentOf Context triple: [Red Hot Red, isReminiscentOf, ripe rhubarb stalks]
-
A.
styleReminiscentOf
Indicates that one entity’s style closely recalls, echoes, or is strongly influenced by the style of another entity.
-
B.
recalledBy
Indicates that an entity is brought back, retrieved, or remembered as a result of another entity’s action or prompting.
-
C.
rememberedThrough
Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
-
D.
resembles
chosen
Indicates that one entity is similar in appearance, form, or characteristics to another.
-
E.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.